Apache Storm distributed messaging system
May 26, 2021 Apache Storm
Table of contents
Apache Storm processes real-time data and inputs are typically from message queuing systems. A n external distributed messaging system will provide the input required for real-time computing. b20> rs.
What is a distributed messaging system?
Distributed messaging is based on the concept of reliable message queues. M essages are queued asynchronously between the client application and the messaging system. ty.
Most message patterns follow the publish-subscribe model (publish-subscribe), where the sender of the message is called the publisher, while those who want to receive the message are called subscribers.
Once the message has been published by the sender, subscribers can receive the selected message with the help of filtering options. 21> filtering, one is topic-based filtering and the other is content-based filtering.
It is important to note that the pub-sub model can only communicate through messages. I t is a very loosely coupled architecture; E ven the sender doesn't know who their subscriber is. b30> real-life example is Dish TV, which publishes different channels such as sports, movies, music, etc., and anyone can subscribe to their own channel set and get their subscription to the channel when available.
The following table describes some popular high throughput messaging systems -
| Distributed messaging system | Describe |
|---|---|
| Apache Kafka | Kafka was developed by LinkedIn and later became a sub-project for Apache. A pache Kafka is based on brokerenabled's, persistent, distributed publishing subscription model. Kafka is fast, scalable and efficient. |
| RabbitMQ | RabbitMQ is an open source distributed robust messaging application. It is easy to use and runs on all platforms. |
| JMS(Java Message Service) | JMS is an open source API that supports creating, reading, and sending messages from one application to another. It provides guaranteed messaging and follows the publish-subscribe model. |
| ActiveMQ | The ActiveMQ messaging system is the open source API of JMS. |
| ZeroMQ | ZeroMQ is agentless equivalent message processing. It provides push-pull, router-dealer message mode. |
| Kestrel | Kestrel is a fast, reliable, and simple distributed message queue. |
Thrift protocol
Thrift was built on Facebook for cross-language service development and remote process infringing (RPC). es. pache Thrift is an interface definition language that allows new data types and service implementations to be easily defined on top of defined data types.
Apache Thrift is also a communication framework that supports embedded systems, mobile applications, web applications and many other programming languages. ns. n addition, it can perform streaming, messaging, and RPC in distributed applications.
Storm uses the Trift protocol extensively for internal communications and data definition. T he Storm topology is just Thrift Structs. Storm Nimbus, which runs the topology in Apache Storm, is a Thrift service.